Tuesday, November 2, 2010
[Math] Eigenvector
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Download now or preview on posterous a.pdf (849 KB) Given a graph, we could use Adjacency matrix t...
Thursday, October 28, 2010
[DBN] Advance machine learning lecture notes - I
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The class notes could be found http://www.cs.toronto.edu/~hinton/csc2535/lectures.html Cast machine learning to numerical optimization prob...
Wednesday, October 27, 2010
[DBN - 0003 ] A theoretical framework for back-propagation
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Download now or preview on posterous 0003-lecun-88.pdf (6286 KB) On Sun, Oct 24, 2010 at 8:53 PM, ...
[DBN] Machine learning lecture notes
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Machine learning lecture notes from : http://www.cs.toronto.edu/~zemel/Courses/CS411/lects.html Constrain NN weights: Pruning network weig...
[DBN] A tutorial on stochastic approximation algorithms for training restricted Boltzmann machines and deep belief nets
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Some of the tricks, often not mentioned in papers, end up playing a crucial role. Contrastive Divergence using one step of Gibbs sampling: ...
Tuesday, October 26, 2010
[DBN - 0005 ] Neural networks
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Not only mixture models, but also a wide variety of other classical statistical models for density estimation are representable as simple ne...
[DBN - 0004 ] Neural Networks and the Bias/Variance Dilemma
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Download now or preview on posterous 0004-neural_nets_bias_variance.pdf (16541 KB) Feedforward neu...
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